<!DOCTYPE html>
<html lang="en">
<head>
    <meta http-equiv="content-type" content="text/html;charset=utf-8"/>
    <meta name="viewport" content="width=device-width, initial-scale=1.0"/>
    <meta name="description" content="Utility functions for stable diffusion"/>

    <meta name="twitter:card" content="summary"/>
    <meta name="twitter:image:src" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta name="twitter:title" content="Utility functions for stable diffusion"/>
    <meta name="twitter:description" content="Utility functions for stable diffusion"/>
    <meta name="twitter:site" content="@labmlai"/>
    <meta name="twitter:creator" content="@labmlai"/>

    <meta property="og:url" content="https://nn.labml.ai/diffusion/stable_diffusion/util.html"/>
    <meta property="og:title" content="Utility functions for stable diffusion"/>
    <meta property="og:image" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta property="og:site_name" content="Utility functions for stable diffusion"/>
    <meta property="og:type" content="object"/>
    <meta property="og:title" content="Utility functions for stable diffusion"/>
    <meta property="og:description" content="Utility functions for stable diffusion"/>

    <title>Utility functions for stable diffusion</title>
    <link rel="shortcut icon" href="/icon.png"/>
    <link rel="stylesheet" href="../../pylit.css?v=1">
    <link rel="canonical" href="https://nn.labml.ai/diffusion/stable_diffusion/util.html"/>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.13.18/dist/katex.min.css" integrity="sha384-zTROYFVGOfTw7JV7KUu8udsvW2fx4lWOsCEDqhBreBwlHI4ioVRtmIvEThzJHGET" crossorigin="anonymous">

    <!-- Global site tag (gtag.js) - Google Analytics -->
    <script async src="https://www.googletagmanager.com/gtag/js?id=G-4V3HC8HBLH"></script>
    <script>
        window.dataLayer = window.dataLayer || [];

        function gtag() {
            dataLayer.push(arguments);
        }

        gtag('js', new Date());

        gtag('config', 'G-4V3HC8HBLH');
    </script>
</head>
<body>
<div id='container'>
    <div id="background"></div>
    <div class='section'>
        <div class='docs'>
            <p>
                <a class="parent" href="/">home</a>
                <a class="parent" href="../index.html">diffusion</a>
                <a class="parent" href="index.html">stable_diffusion</a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
                    <img alt="Github"
                         src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
                         style="max-width:100%;"/></a>
                <a href="https://twitter.com/labmlai" rel="nofollow" target="_blank">
                    <img alt="Twitter"
                         src="https://img.shields.io/twitter/follow/labmlai?style=social"
                         style="max-width:100%;"/></a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/diffusion/stable_diffusion/util.py" target="_blank">
                    View code on Github</a>
            </p>
        </div>
    </div>
    <div class='section' id='section-0'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-0'>#</a>
            </div>
            <h1>Utility functions for <a href="index.html">stable diffusion</a></h1>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">11</span><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="lineno">12</span><span class="kn">import</span> <span class="nn">random</span>
<span class="lineno">13</span><span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="lineno">14</span>
<span class="lineno">15</span><span class="kn">import</span> <span class="nn">PIL</span>
<span class="lineno">16</span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="lineno">17</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">18</span><span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="lineno">19</span>
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">monit</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">inspect</span>
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.latent_diffusion</span> <span class="kn">import</span> <span class="n">LatentDiffusion</span>
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.model.autoencoder</span> <span class="kn">import</span> <span class="n">Encoder</span><span class="p">,</span> <span class="n">Decoder</span><span class="p">,</span> <span class="n">Autoencoder</span>
<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.model.clip_embedder</span> <span class="kn">import</span> <span class="n">CLIPTextEmbedder</span>
<span class="lineno">25</span><span class="kn">from</span> <span class="nn">labml_nn.diffusion.stable_diffusion.model.unet</span> <span class="kn">import</span> <span class="n">UNetModel</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <h3>Set random seeds</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">28</span><span class="k">def</span> <span class="nf">set_seed</span><span class="p">(</span><span class="n">seed</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">32</span>    <span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
<span class="lineno">33</span>    <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
<span class="lineno">34</span>    <span class="n">torch</span><span class="o">.</span><span class="n">manual_seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
<span class="lineno">35</span>    <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">manual_seed_all</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <h3>Load <a href="latent_diffusion.html"><code  class="highlight"><span></span><span class="n">LatentDiffusion</span></code>
 model</a></h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">38</span><span class="k">def</span> <span class="nf">load_model</span><span class="p">(</span><span class="n">path</span><span class="p">:</span> <span class="n">Path</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">LatentDiffusion</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p>Initialize the autoencoder </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">44</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Initialize autoencoder&#39;</span><span class="p">):</span>
<span class="lineno">45</span>        <span class="n">encoder</span> <span class="o">=</span> <span class="n">Encoder</span><span class="p">(</span><span class="n">z_channels</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="lineno">46</span>                          <span class="n">in_channels</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
<span class="lineno">47</span>                          <span class="n">channels</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span>
<span class="lineno">48</span>                          <span class="n">channel_multipliers</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span>
<span class="lineno">49</span>                          <span class="n">n_resnet_blocks</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="lineno">50</span>
<span class="lineno">51</span>        <span class="n">decoder</span> <span class="o">=</span> <span class="n">Decoder</span><span class="p">(</span><span class="n">out_channels</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
<span class="lineno">52</span>                          <span class="n">z_channels</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="lineno">53</span>                          <span class="n">channels</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span>
<span class="lineno">54</span>                          <span class="n">channel_multipliers</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span>
<span class="lineno">55</span>                          <span class="n">n_resnet_blocks</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="lineno">56</span>
<span class="lineno">57</span>        <span class="n">autoencoder</span> <span class="o">=</span> <span class="n">Autoencoder</span><span class="p">(</span><span class="n">emb_channels</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="lineno">58</span>                                  <span class="n">encoder</span><span class="o">=</span><span class="n">encoder</span><span class="p">,</span>
<span class="lineno">59</span>                                  <span class="n">decoder</span><span class="o">=</span><span class="n">decoder</span><span class="p">,</span>
<span class="lineno">60</span>                                  <span class="n">z_channels</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p>Initialize the CLIP text embedder </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">63</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Initialize CLIP Embedder&#39;</span><span class="p">):</span>
<span class="lineno">64</span>        <span class="n">clip_text_embedder</span> <span class="o">=</span> <span class="n">CLIPTextEmbedder</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p>Initialize the U-Net </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">67</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Initialize U-Net&#39;</span><span class="p">):</span>
<span class="lineno">68</span>        <span class="n">unet_model</span> <span class="o">=</span> <span class="n">UNetModel</span><span class="p">(</span><span class="n">in_channels</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="lineno">69</span>                               <span class="n">out_channels</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="lineno">70</span>                               <span class="n">channels</span><span class="o">=</span><span class="mi">320</span><span class="p">,</span>
<span class="lineno">71</span>                               <span class="n">attention_levels</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span>
<span class="lineno">72</span>                               <span class="n">n_res_blocks</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
<span class="lineno">73</span>                               <span class="n">channel_multipliers</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span>
<span class="lineno">74</span>                               <span class="n">n_heads</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span>
<span class="lineno">75</span>                               <span class="n">tf_layers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
<span class="lineno">76</span>                               <span class="n">d_cond</span><span class="o">=</span><span class="mi">768</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p>Initialize the Latent Diffusion model </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">79</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Initialize Latent Diffusion model&#39;</span><span class="p">):</span>
<span class="lineno">80</span>        <span class="n">model</span> <span class="o">=</span> <span class="n">LatentDiffusion</span><span class="p">(</span><span class="n">linear_start</span><span class="o">=</span><span class="mf">0.00085</span><span class="p">,</span>
<span class="lineno">81</span>                                <span class="n">linear_end</span><span class="o">=</span><span class="mf">0.0120</span><span class="p">,</span>
<span class="lineno">82</span>                                <span class="n">n_steps</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span>
<span class="lineno">83</span>                                <span class="n">latent_scaling_factor</span><span class="o">=</span><span class="mf">0.18215</span><span class="p">,</span>
<span class="lineno">84</span>
<span class="lineno">85</span>                                <span class="n">autoencoder</span><span class="o">=</span><span class="n">autoencoder</span><span class="p">,</span>
<span class="lineno">86</span>                                <span class="n">clip_embedder</span><span class="o">=</span><span class="n">clip_text_embedder</span><span class="p">,</span>
<span class="lineno">87</span>                                <span class="n">unet_model</span><span class="o">=</span><span class="n">unet_model</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p>Load the checkpoint </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">90</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Loading model from </span><span class="si">{</span><span class="n">path</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">):</span>
<span class="lineno">91</span>        <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">map_location</span><span class="o">=</span><span class="s2">&quot;cpu&quot;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>Set model state </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">94</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Load state&#39;</span><span class="p">):</span>
<span class="lineno">95</span>        <span class="n">missing_keys</span><span class="p">,</span> <span class="n">extra_keys</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;state_dict&quot;</span><span class="p">],</span> <span class="n">strict</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>Debugging output </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">98</span>    <span class="n">inspect</span><span class="p">(</span><span class="n">global_step</span><span class="o">=</span><span class="n">checkpoint</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;global_step&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span> <span class="n">missing_keys</span><span class="o">=</span><span class="n">missing_keys</span><span class="p">,</span> <span class="n">extra_keys</span><span class="o">=</span><span class="n">extra_keys</span><span class="p">,</span>
<span class="lineno">99</span>            <span class="n">_expand</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p> </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">102</span>    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="lineno">103</span>    <span class="k">return</span> <span class="n">model</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <h3>Load an image</h3>
<p>This loads an image from a file and returns a PyTorch tensor.</p>
<ul><li><code  class="highlight"><span></span><span class="n">path</span></code>
  is the path of the image</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">106</span><span class="k">def</span> <span class="nf">load_img</span><span class="p">(</span><span class="n">path</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <p>Open Image </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">115</span>    <span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">path</span><span class="p">)</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="s2">&quot;RGB&quot;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p>Get image size </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">117</span>    <span class="n">w</span><span class="p">,</span> <span class="n">h</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">size</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p>Resize to a multiple of 32 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">119</span>    <span class="n">w</span> <span class="o">=</span> <span class="n">w</span> <span class="o">-</span> <span class="n">w</span> <span class="o">%</span> <span class="mi">32</span>
<span class="lineno">120</span>    <span class="n">h</span> <span class="o">=</span> <span class="n">h</span> <span class="o">-</span> <span class="n">h</span> <span class="o">%</span> <span class="mi">32</span>
<span class="lineno">121</span>    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">resize</span><span class="p">((</span><span class="n">w</span><span class="p">,</span> <span class="n">h</span><span class="p">),</span> <span class="n">resample</span><span class="o">=</span><span class="n">PIL</span><span class="o">.</span><span class="n">Image</span><span class="o">.</span><span class="n">LANCZOS</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            <p>Convert to numpy and map to <code  class="highlight"><span></span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span></code>
 for <code  class="highlight"><span></span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">255</span><span class="p">]</span></code>
 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">123</span>    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">image</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="mf">2.</span> <span class="o">/</span> <span class="mf">255.0</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <p>Transpose to shape <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">]</span></code>
 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">125</span>    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="p">[</span><span class="kc">None</span><span class="p">]</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>Convert to torch </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">127</span>    <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">image</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <h3>Save a images</h3>
<ul><li><code  class="highlight"><span></span><span class="n">images</span></code>
  is the tensor with images of shape <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">]</span></code>
 </li>
<li><code  class="highlight"><span></span><span class="n">dest_path</span></code>
  is the folder to save images in </li>
<li><code  class="highlight"><span></span><span class="n">prefix</span></code>
  is the prefix to add to file names </li>
<li><code  class="highlight"><span></span><span class="n">img_format</span></code>
  is the image format</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">130</span><span class="k">def</span> <span class="nf">save_images</span><span class="p">(</span><span class="n">images</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">dest_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">prefix</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">img_format</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;jpeg&#39;</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <p>Create the destination folder </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">141</span>    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">dest_path</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>Map images to <code  class="highlight"><span></span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span></code>
 space and clip </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">144</span>    <span class="n">images</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">clamp</span><span class="p">((</span><span class="n">images</span> <span class="o">+</span> <span class="mf">1.0</span><span class="p">)</span> <span class="o">/</span> <span class="mf">2.0</span><span class="p">,</span> <span class="nb">min</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> <span class="nb">max</span><span class="o">=</span><span class="mf">1.0</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>Transpose to <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">,</span> <span class="n">channels</span><span class="p">]</span></code>
 and convert to numpy </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">146</span>    <span class="n">images</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">permute</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <p>Save images </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">149</span>    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">img</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">images</span><span class="p">):</span>
<span class="lineno">150</span>        <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">fromarray</span><span class="p">((</span><span class="mf">255.</span> <span class="o">*</span> <span class="n">img</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">))</span>
<span class="lineno">151</span>        <span class="n">img</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dest_path</span><span class="p">,</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">prefix</span><span class="si">}{</span><span class="n">i</span><span class="si">:</span><span class="s2">05</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">img_format</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">),</span> <span class="nb">format</span><span class="o">=</span><span class="n">img_format</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='footer'>
        <a href="https://labml.ai">labml.ai</a>
    </div>
</div>
<script src=../../interactive.js?v=1"></script>
<script>
    function handleImages() {
        var images = document.querySelectorAll('p>img')

        for (var i = 0; i < images.length; ++i) {
            handleImage(images[i])
        }
    }

    function handleImage(img) {
        img.parentElement.style.textAlign = 'center'

        var modal = document.createElement('div')
        modal.id = 'modal'

        var modalContent = document.createElement('div')
        modal.appendChild(modalContent)

        var modalImage = document.createElement('img')
        modalContent.appendChild(modalImage)

        var span = document.createElement('span')
        span.classList.add('close')
        span.textContent = 'x'
        modal.appendChild(span)

        img.onclick = function () {
            console.log('clicked')
            document.body.appendChild(modal)
            modalImage.src = img.src
        }

        span.onclick = function () {
            document.body.removeChild(modal)
        }
    }

    handleImages()
</script>
</body>
</html>